Can this be integrated into a GitHub Actions workflow?

Absolutely. It includes a dedicated CI mode and example YAML configurations for seamless integration into GitHub Actions or other CI/CD pipelines.

How do I review the test results?

The skill generates JSON reports by default, which can be converted into interactive HTML reports with visual charts for easier debugging and performance review.

Do I need specific API keys to run these tests?

Yes, comprehensive testing requires valid API keys for Anthropic (Claude), OpenAI (Codex), and Google (Gemini) to be set in your environment variables.

What components does this skill actually test?

It provides a framework to test the memex-cli backend, code-with-codex generation quality, ux-design-gemini visual specifications, and the /multcode orchestration workflow.

Can I add my own custom test scenarios?

Yes, you can extend the default test suite by adding custom scenarios to the .component-tester.yaml configuration file or by defining new CodeScenario objects in Python.

Workflow Component Tester

Name: Workflow Component Tester
Author: chaorenex1

bychaorenex1

•

セキュリティとテスト

Validates and tests Claude Code workflow components to ensure reliable integration, code generation, and UI/UX design capabilities.

The Component Tester skill provides a robust automated testing framework designed to verify the integrity of the coding-workflow plugin ecosystem. It orchestrates end-to-end validation for backend integrations like memex-cli, specialized AI skills for code and design generation, and complex multi-stage orchestration commands like /multcode. By running comprehensive regression and integration tests, it ensures that your AI-driven development environment remains stable, performs optimally, and maintains context across different AI backends after updates or configuration changes.

主な機能

01End-to-end orchestration testing for multi-backend AI workflows

021 GitHub stars

03Scenario-based testing for code generation and UX design accuracy

04Pre-configured CI/CD integration for automated workflow quality assurance

05Detailed HTML and JSON test report generation with performance metrics

06Automated backend integration validation for memex-cli connectivity

ユースケース

01Troubleshooting failures in complex multi-stage AI orchestration pipelines

02Running regression tests before deploying updates to a coding workflow

03Verifying environment setup and API key configurations after initial installation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add chaorenex1/coding-workflow component-tester

For use in Claude.ai and ChatGPT

Download Skill